Tracking DOT1L methyltransferase activity by stable isotope labelling using a selective synthetic co-factor
Epigenetic processes influence health and disease through mechanisms which alter gene expression. In contrast to genetic changes which affect DNA sequences, epigenetic marks include DNA base modifications or post-translational modification (PTM) of proteins. Histone methylation is a prominent and ve...
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Published in | Communications chemistry Vol. 7; no. 1; pp. 145 - 7 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
27.06.2024
Nature Publishing Group Nature Portfolio |
Subjects | |
Online Access | Get full text |
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Summary: | Epigenetic processes influence health and disease through mechanisms which alter gene expression. In contrast to genetic changes which affect DNA sequences, epigenetic marks include DNA base modifications or post-translational modification (PTM) of proteins. Histone methylation is a prominent and versatile example of an epigenetic marker: gene expression or silencing is dependent on the location and extent of the methylation. Protein methyltransferases exhibit functional redundancy and broad preferences for multiple histone residues, which presents a challenge for the study of their individual activities. We developed an isotopically labelled analogue of co-factor S-adenosyl-L-methionine (
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CD
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-BrSAM), with selectivity for the histone lysine methyltransferase DOT1L, permitting tracking of methylation activity by mass spectrometry (MS). This concept could be applied to other methyltransferases, linking PTM discovery to enzymatic mediators.
Histone methylation by histone lysine methyltransferases (HKMTs) is a vital post-translational modification regulating gene expression, however, selective mapping of methylation by proteomics analysis remains challenging. Here, the authors develop a heavy co-factor analogue
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-BrSAM for HKMT DOT1L that can selectively heavy label target substrates, and map their methylation by proteomics. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2399-3669 2399-3669 |
DOI: | 10.1038/s42004-024-01227-x |